Name
Abstract | ||
|---|---|---|
The split-protocol theory was developed for load balancing and quicker data communication. Split-protocol computing paradigm uses web services on geographically distributed web servers on the cloud. A system of large split-servers that form the cloud to handle computing and storage task that would otherwise create a massive CPU utilisation if we work with the traditional individual server. In an earlier paper, we established that the application split-protocol produces higher performance compared to traditional clusters. Based on the necessity, diverse types of split configurations are applied for higher throughput, better response and connection time. The experiential throughput enhancement was within the range 6.5%-25% over non-split systems. This paper examines empirical results split systems to understanding its behaviour compared with non-split systems. Split-protocol was implemented on private cloud for internal data servers of the organisation, not made available to the general public. The split co... |
Year | Venue | Field |
|---|---|---|
2018 | IJAIP | Experiential learning,Computer science,Load balancing (computing),Server,Internet protocol suite,Computer network,Artificial intelligence,Throughput,Web service,Machine learning,Web server,Cloud computing |
DocType | Volume | Issue |
Journal | 10 | 1/2 |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bharat S. Rawal | 1 | 40 | 9.81 |
| Qiang Duan | 2 | 327 | 37.37 |
| P. Vijayakumar | 3 | 301 | 31.59 |